Python Pandas - 从具有特定时间序列频率的 DateTimeIndex 中提取月份数
要从具有特定时间序列频率的 DateTimeIndex 中提取月数,请使用DateTimeIndex.month属性。
首先,导入所需的库 -
import pandas as pd
DatetimeIndex,周期为 6,频率为 M,即月份。时区是澳大利亚/悉尼 -
datetimeindex = pd.date_range('2021-09-24 02:35:55', periods=6, tz='Australia/Sydney',freq='M')
显示日期时间索引 -
print("DateTimeIndex...\n", datetimeindex)
获取月份数,即一月=1,二月=2,...,十二月=12 -
print("\nGetting the month number..\n",datetimeindex.month)
示例
以下是代码 -
import pandas as pd输出结果# DatetimeIndex with period 6 and frequency as M i.e. month
# timezone is Australia/Sydney
datetimeindex = pd.date_range('2021-09-24 02:35:55', periods=6, tz='Australia/Sydney',freq='M')
# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)
# display DateTimeIndex frequency
print("DateTimeIndex frequency...\n", datetimeindex.freq)
# get the month number i.e. January=1, february=2, ..., December=12
print("\nGetting the month number..\n",datetimeindex.month)
这将产生以下输出 -
DateTimeIndex...DatetimeIndex(['2021-09-30 02:35:55+10:00', '2021-10-31 02:35:55+11:00',
'2021-11-30 02:35:55+11:00', '2021-12-31 02:35:55+11:00',
'2022-01-31 02:35:55+11:00', '2022-02-28 02:35:55+11:00'],
dtype='datetime64[ns, Australia/Sydney]', freq='M')
DateTimeIndex frequency...
<MonthEnd>
Getting the month number..
Int64Index([9, 10, 11, 12, 1, 2], dtype='int64')
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